MapReduce is a programming model for processing large datasets in a distributed, parallel, and fault-tolerant manner. It consists of two functions: map, which processes input key-value pairs to generate intermediate output, and reduce, which merges all intermediate values associated with the same key. The MapReduce framework automatically parallelizes tasks across clusters, handles fault tolerance through replication, and provides tools for monitoring progress.